[mlpack] Tutorial for HyperParameterTuning for FFNs (Ambica Prasad)

[Ambica Prasad]

Hi Benson,

I am not sure how I would use DropOut to perform a grid-search over my parameters. Could you elaborate?

Thanks,
Ambica

-----Original Message-----
From: mlpack <mlpack-bounces at lists.mlpack.org> On Behalf Of Benson Muite
Sent: 08 November 2020 00:04
To: mlpack at lists.mlpack.org
Subject: Re: [mlpack] Tutorial for HyperParameterTuning for FFNs (Ambica Prasad)

You may also want to examine the documentation on dropout:
https://www.mlpack.org/doc/mlpack-3.0.4/doxygen/classmlpack_1_1ann_1_1Dropout.html

On 11/7/20 9:15 PM, Aakash kaushik wrote:
> Hey Ambica
>
> So There is not a specific tutorial available for that but you can
> always put the layer size in an array and loop over that for variable
> layers sizes or you can sample random integers from a range and for
> layer numbers I believe you have to change them manually every time
> but not totally sure about it.
>
> Best,
> Aakash
>
> On Sat, Nov 7, 2020 at 10:30 PM <mlpack-request at lists.mlpack.org
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>     ---------- Forwarded message ----------
>     From: Ambica Prasad <Ambica.Prasad at arm.com
>     <mailto:Ambica.Prasad at arm.com>>
>     To: "mlpack at lists.mlpack.org <mailto:mlpack at lists.mlpack.org>"
>     <mlpack at lists.mlpack.org <mailto:mlpack at lists.mlpack.org>>
>     Cc:
>     Bcc:
>     Date: Sat, 7 Nov 2020 02:36:39 +0000
>     Subject: [mlpack] Tutorial for HyperParameterTuning for FFNs
>
>     Hi Guys,____
>
>     __ __
>
>     Is there an example or a tutorial that explains how to perform the
>     hyperparameter tuning for FFNs, where I can evaluate the network on
>     different number of layers and layer-sizes?____
>
>     __ __
>
>     Thanks,____
>
>     Ambica____
>
>     __ __
>
>     __ __
>
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